--- title: "PU-20-0218 - Development of Methods for Education Quality" ocid: "ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7.json" source: "Contracts Finder" current_stage: "Planning" buyer: "OFFICE FOR NATIONAL STATISTICS" published: "2019-12-18" --- # PU-20-0218 - Development of Methods for Education Quality Buyer: OFFICE FOR NATIONAL STATISTICS Current stage: Planning OCID: ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7.json) ## Summary The Office for National Statistics (ONS) is planning to initiate a tender titled "PU-20-0218 - Development of Methods for Education Quality." This procurement falls within the research services industry category and is set to take place in Newport, Wales. The planned procurement stage outlines key activities expected to occur between February 2020 and June 2020, with an interim report due by 31st March 2020 and the final report by 30th June 2020. The procurement method is open, allowing wider participation, and the estimated budget is minimal at £1 GBP, indicating a potentially lower-cost, competitive process for suppliers. This tender presents a significant opportunity for businesses specialising in research methodologies, particularly those with expertise in education quality assessments. Academic institutions, private sector economists, and statistical consultancies would be well-suited to compete for this contract, bringing innovative approaches to measuring education output and productivity. With the tender expected to be published mid-January, interested firms should prepare their submissions by the end of January to be considered in this time-sensitive process. ## Notice The ONS is intending to recruit academic and/or private sector economists and statisticians to deliver research on the development of methods to estimate education quality.The aim of the project is to identify data sources and develop methods to measure the quality of education services. This will contribute to improved measures of education output and productivity for use in ONS' public service productivity estimates. This project will includes a review of the available data sources, assessment of their suitability, and estimates of quality using the recommended method. Effort should be made that the measures reflect the UK as a whole, and not only England. Thought should also be given to measures at the level of local authority. It is estimated that the work should take no more than 30 days between February 2020 and June 2020. Delivery of an interim report must be made by 31st March 2020. Delivery of the final report must be achieved by 30th June 2020. We anticipate that the tender will be published mid-January with a proposal return deadline of end of January, ONS are looking to enter into a contract with a supplier in February. These dates are provisional and subject to change. The opportunity will be published via ONS' e-tendering portal, In-Tend and only bids received via In-Tend will be valid. If you are interested in this opportunity, please register using the link below and kindly inform me via email (natalie.rogers@ons.gov.uk) to ensure you are added to the Project and notified when the tender is published: https://in-tendhost.co.uk/ons/aspx/Home ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/83372ad5-5dca-45c2-85a7-3aca7b353e30 | | Notice type | Planned Procurement Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Open | | Procurement method details | Open procedure (below threshold) | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 18 Dec 2019 | | Submission deadline | Not specified | | Future notice date | 13 Jan 2020 | | Award date | Not specified | | Contract period | 6 Feb 2020 - 30 Jun 2020 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £1 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planned | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | OFFICE FOR NATIONAL STATISTICS | | Locality | NEWPORT | | Post town | Newport | | Postcode | NP10 8XG | | Country | Wales | | ITL 1 | TLL Wales | | ITL 2 | TLL5 South East Wales | | ITL 3 | TLL54 Monmouthshire and Newport | | Local authority | Newport | | Electoral ward | Tredegar Park and Marshfield | | Westminster constituency | Newport West and Islwyn | | Delivery location | Not specified | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73110000 - Research services ## Release History - 18 Dec 2019 at 13:49 - Planning - Planned Procurement Notice - https://www.contractsfinder.service.gov.uk/Notice/83372ad5-5dca-45c2-85a7-3aca7b353e30 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/83372ad5-5dca-45c2-85a7-3aca7b353e30 18th December 2019 - Future opportunity notice on Contracts Finder ## Notice URLs - https://in-tendhost.co.uk/ons/aspx/Home ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-8ac365c2-6d72-4a05-b0db-2a784768d3a7.json.